We introduce a novel approach to learn geometries such as depth and surface normal from
images while incorporating geometric context. The difficulty of reliably capturing geometric …

Capturing high-fidelity normals from single face images plays a core role in numerous
computer vision and graphics applications. Though significant progress has been made in …

Inverse rendering has been a long-standing problem in computer graphics and vision, with
the objective of decomposing images into intrinsic scene properties including geometry …